ArticleJournal of visualized experiments : JoVE2016
Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy.
Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed, 59 citations in OpenAlex.
- Short-Term Modulation of Epileptic Network with Low-Frequency Thalamic Stimulation.medRxiv : the preprint server for health sciences · 2025Article
- High-frequency oscillations in epileptic and non-epileptic Alzheimer's disease patients and the differential effect of levetiracetam on the oscillations.Brain communications · 2025Article
- Spikes on ripples are better interictal biomarkers of epilepsy than spikes or ripples.Brain communications · 2025Article
- Noninvasive classification of physiological and pathological high frequency oscillations in children.Brain communications · 2025Article
- Normative high-frequency oscillation phase-amplitude coupling and effective connectivity under sevoflurane.Brain communications · 2025Article
- Overlap of spike and ripple propagation onset predicts surgical outcome in epilepsy.Annals of clinical and translational neurology · 2024Article
- Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024Review
- Low-density scalp electrical source imaging of the ictal onset zone network using source coherence maps.Frontiers in neurology · 2024Article
- Electromagnetic source imaging predicts surgical outcome in children with focal cortical dysplasia.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Non-invasive mapping of epileptogenic networks predicts surgical outcome.Brain : a journal of neurology · 2023Article
- Magnetoencephalography-based approaches to epilepsy classification.Frontiers in neuroscience · 2023Review
- An approach for reliably identifying high-frequency oscillations and reducing false-positive detections.Epilepsia open · 2022Article
- Source-sink connectivity: a novel interictal EEG marker for seizure localization.Brain : a journal of neurology · 2022Article
- Transformer-Based High-Frequency Oscillation Signal Detection on Magnetoencephalography From Epileptic Patients.Frontiers in molecular biosciences · 2022Article
- Case Report: Laser Ablation Guided by State of the Art Source Imaging Ends an Adolescent's 16-Year Quest for Seizure Freedom.Frontiers in human neuroscience · 2022Article
- A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy.Frontiers in neuroinformatics · 2022Article
- Mapping Propagation of Interictal Spikes, Ripples, and Fast Ripples in Intracranial EEG of Children with Refractory Epilepsy.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
- Localizing the Epileptogenic Zone with Novel Biomarkers.Seminars in pediatric neurology · 2021Review
- Extensions of Granger Causality Calculations on Brain Networks for Efficient and Accurate Seizure Focus Identification via iEEGs.Brain sciences · 2021Article
- Noninvasive Mapping of Ripple Onset Predicts Outcome in Epilepsy Surgery.Annals of neurology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Crucial to the success of epilepsy surgery is the availability of a robust biomarker that identifies the Epileptogenic Zone (EZ). High Frequency Oscillations (HFOs) have emerged as potential presurgical biomarkers for the identification of the EZ in addition to Interictal Epileptiform Discharges (IEDs) and ictal activity. Although they are promising to localize the EZ, they are not yet suited for the diagnosis or monitoring of epilepsy in clinical practice. Primary barriers remain: the lack of a formal and global definition for HFOs; the consequent heterogeneity of methodological approaches used for their study; and the practical difficulties to detect and localize them noninvasively from scalp recordings. Here, we present a methodology for the recording, detection, and localization of interictal HFOs from pediatric patients with refractory epilepsy. We report representative data of HFOs detected noninvasively from interictal scalp EEG and MEG from two children undergoing surgery. The underlying generators of HFOs were localized by solving the inverse problem and their localization was compared to the Seizure Onset Zone (SOZ) as this was defined by the epileptologists. For both patients, Interictal Epileptogenic Discharges (IEDs) and HFOs were localized with source imaging at concordant locations. For one patient, intracranial EEG (iEEG) data were also available. For this patient, we found that the HFOs localization was concordant between noninvasive and invasive methods. The comparison of iEEG with the results from scalp recordings served to validate these findings. To our best knowledge, this is the first study that presents the source localization of scalp HFOs from simultaneous EEG and MEG recordings comparing the results with invasive recordings. These findings suggest that HFOs can be reliably detected and localized noninvasively with scalp EEG and MEG. We conclude that the noninvasive localization of interictal HFOs could significantly improve the presurgical evaluation for pediatric patients with epilepsy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.